The Impact of a Deep Learning Self-Adaptive Colour Restoration Pipeline for Deep Underwater Images in 3D Reconstruction

Vlachos, Marinos; Skarlatos, Dimitrios; Demesticha, Stella

doi:https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-309-2025

Articles | Volume XLVIII-2/W10-2025

https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-309-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-309-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume XLVIII-2/W10-2025

07 Jul 2025

| 07 Jul 2025

The Impact of a Deep Learning Self-Adaptive Colour Restoration Pipeline for Deep Underwater Images in 3D Reconstruction

Marinos Vlachos, Dimitrios Skarlatos, and Stella Demesticha

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MODELLING COLOUR ABSORPTION OF UNDERWATER IMAGES USING SFM-MVS GENERATED DEPTH MAPS

M. Vlachos, A. Calantropio, D. Skarlatos, and F. Chiabrando

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 959–966, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-959-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-959-2022, 2022

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